{"id":"https://openalex.org/W4389781139","doi":"https://doi.org/10.1145/3627341.3630393","title":"A Multidimensional Data Aggregation Scheme Based on Edge Federated Learning and Blockchain for Smart Grid","display_name":"A Multidimensional Data Aggregation Scheme Based on Edge Federated Learning and Blockchain for Smart Grid","publication_year":2023,"publication_date":"2023-08-25","ids":{"openalex":"https://openalex.org/W4389781139","doi":"https://doi.org/10.1145/3627341.3630393"},"language":"en","primary_location":{"id":"doi:10.1145/3627341.3630393","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3627341.3630393","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 International Conference on Computer, Vision and Intelligent Technology","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102993634","display_name":"Chenxi Jiang","orcid":"https://orcid.org/0009-0006-2748-6356"},"institutions":[{"id":"https://openalex.org/I43081956","display_name":"Xiangnan University","ror":"https://ror.org/05by9mg64","country_code":"CN","type":"education","lineage":["https://openalex.org/I43081956"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chenxi Jiang","raw_affiliation_strings":["XiangNan University, China"],"raw_orcid":"https://orcid.org/0009-0006-2748-6356","affiliations":[{"raw_affiliation_string":"XiangNan University, China","institution_ids":["https://openalex.org/I43081956"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087259425","display_name":"Hongbin Fan","orcid":"https://orcid.org/0000-0002-7161-8778"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongbin Fan","raw_affiliation_strings":["XiangNan University, China and \rNanjing University of Science and Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-7161-8778","affiliations":[{"raw_affiliation_string":"XiangNan University, China and \rNanjing University of Science and Technology, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080632616","display_name":"Yiheng Luo","orcid":"https://orcid.org/0009-0001-6909-2076"},"institutions":[{"id":"https://openalex.org/I43081956","display_name":"Xiangnan University","ror":"https://ror.org/05by9mg64","country_code":"CN","type":"education","lineage":["https://openalex.org/I43081956"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiheng Luo","raw_affiliation_strings":["XiangNan University, China"],"raw_orcid":"https://orcid.org/0009-0001-6909-2076","affiliations":[{"raw_affiliation_string":"XiangNan University, China","institution_ids":["https://openalex.org/I43081956"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yaohui Liu","orcid":"https://orcid.org/0009-0000-0144-9385"},"institutions":[{"id":"https://openalex.org/I43081956","display_name":"Xiangnan University","ror":"https://ror.org/05by9mg64","country_code":"CN","type":"education","lineage":["https://openalex.org/I43081956"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaohui Liu","raw_affiliation_strings":["XiangNan University, China"],"raw_orcid":"https://orcid.org/0009-0000-0144-9385","affiliations":[{"raw_affiliation_string":"XiangNan University, China","institution_ids":["https://openalex.org/I43081956"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008433119","display_name":"Hui Yang","orcid":"https://orcid.org/0009-0009-5810-2468"},"institutions":[{"id":"https://openalex.org/I4210152216","display_name":"Guangdong Food and Drug Vocational College","ror":"https://ror.org/04xhre718","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Yang","raw_affiliation_strings":["Hunan Food and Drug Vocational College, China"],"raw_orcid":"https://orcid.org/0009-0009-5810-2468","affiliations":[{"raw_affiliation_string":"Hunan Food and Drug Vocational College, China","institution_ids":["https://openalex.org/I4210152216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101694999","display_name":"Muzi Li","orcid":"https://orcid.org/0009-0002-1657-559X"},"institutions":[{"id":"https://openalex.org/I43081956","display_name":"Xiangnan University","ror":"https://ror.org/05by9mg64","country_code":"CN","type":"education","lineage":["https://openalex.org/I43081956"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Muzi Li","raw_affiliation_strings":["XiangNan University, China"],"raw_orcid":"https://orcid.org/0009-0002-1657-559X","affiliations":[{"raw_affiliation_string":"XiangNan University, China","institution_ids":["https://openalex.org/I43081956"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5102993634"],"corresponding_institution_ids":["https://openalex.org/I43081956"],"apc_list":null,"apc_paid":null,"fwci":1.3453,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.86218305,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10270","display_name":"Blockchain Technology Applications and Security","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10270","display_name":"Blockchain Technology Applications and Security","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/blockchain","display_name":"Blockchain","score":0.8852293491363525},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.784528374671936},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.7570046186447144},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5753365755081177},{"id":"https://openalex.org/keywords/smart-grid","display_name":"Smart grid","score":0.5556405782699585},{"id":"https://openalex.org/keywords/data-aggregator","display_name":"Data aggregator","score":0.5226262211799622},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5118393301963806},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4274788796901703},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.24749937653541565},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.18707957863807678},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15942510962486267},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.07983243465423584}],"concepts":[{"id":"https://openalex.org/C2779687700","wikidata":"https://www.wikidata.org/wiki/Q20514253","display_name":"Blockchain","level":2,"score":0.8852293491363525},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.784528374671936},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.7570046186447144},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5753365755081177},{"id":"https://openalex.org/C10558101","wikidata":"https://www.wikidata.org/wiki/Q689855","display_name":"Smart grid","level":2,"score":0.5556405782699585},{"id":"https://openalex.org/C82578977","wikidata":"https://www.wikidata.org/wiki/Q16773055","display_name":"Data aggregator","level":3,"score":0.5226262211799622},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5118393301963806},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4274788796901703},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.24749937653541565},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.18707957863807678},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15942510962486267},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.07983243465423584},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3627341.3630393","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3627341.3630393","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 International Conference on Computer, Vision and Intelligent Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1977813512","https://openalex.org/W2055817410","https://openalex.org/W2591915039","https://openalex.org/W3015172746","https://openalex.org/W3041971333","https://openalex.org/W3121113880","https://openalex.org/W3183931182","https://openalex.org/W3211910497","https://openalex.org/W4206950075"],"related_works":["https://openalex.org/W4210406818","https://openalex.org/W4306779889","https://openalex.org/W4386732777","https://openalex.org/W3211706803","https://openalex.org/W4382775358","https://openalex.org/W4246942721","https://openalex.org/W3209862047","https://openalex.org/W4304136894","https://openalex.org/W2989851257","https://openalex.org/W2765119830"],"abstract_inverted_index":{"Smart":[0],"grid":[1,56,144],"is":[2,11,34,49,58,67,111,171,183],"a":[3,12,68,91,148],"new":[4],"generation":[5],"of":[6,44,50,79,138,151,168,175,186],"energy":[7],"infrastructure.":[8],"Data":[9],"aggregation":[10,28,94,137],"common":[13],"method":[14],"for":[15],"assessing":[16],"and":[17,47,60,98,116,122,158,179,194],"protecting":[18],"electricity":[19],"consumption":[20],"in":[21,102,192],"smart":[22,55,80,103,143],"grids.":[23],"Since":[24],"the":[25,75,118,135,142,165,176,180,187],"existing":[26,177,188],"data":[27,45,57,82,93,130,140],"scheme":[29],"focuses":[30],"on":[31],"centralization,":[32],"it":[33],"easy":[35],"to":[36,38,62,74,113,126,145],"lead":[37],"user":[39,128],"privacy":[40,129],"leakage.":[41,131],"The":[42,132,190],"security":[43],"acquisition":[46],"transmission":[48],"great":[51],"concern.":[52],"In":[53,105],"practice,":[54],"multi-dimensional":[59,92],"needs":[61],"be":[63],"aggregated.":[64],"Federated":[65],"learning":[66,71,101,110],"collaborative":[69],"machine":[70],"approach.":[72],"Due":[73],"limited":[76],"computing":[77,193],"power":[78],"meters,":[81],"training":[83,119],"efficiency":[84],"becomes":[85],"an":[86],"issue.":[87],"Therefore,":[88],"we":[89],"propose":[90],"solution":[95,133],"with":[96],"blockchain":[97,123],"edge":[99,108],"federated":[100,109],"grid.":[104],"this":[106,169],"scheme,":[107],"used":[112],"protect":[114],"parameters":[115],"improve":[117],"efficiency.":[120],"PBFT":[121],"are":[124],"adopted":[125],"prevent":[127],"enables":[134],"secure":[136],"fine-grained":[139],"from":[141],"defend":[146],"against":[147],"wide":[149],"range":[150],"attacks,":[152],"while":[153],"supporting":[154],"fault":[155],"tolerance,":[156],"traceability,":[157],"tamper":[159],"resistance.":[160],"Performance":[161],"evaluation":[162],"shows":[163],"that":[164],"computational":[166],"cost":[167,182],"scenario":[170],"less":[172],"than":[173],"two-fifths":[174],"solution,":[178],"communication":[181,195],"only":[184],"two-thirds":[185],"cost.":[189],"reduction":[191],"costs":[196],"greatly":[197],"improves":[198],"performance.":[199]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}